Business Intelligence

As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required to run specific business intelligence software. Lastly, I will give a brief synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business information software

Besides that, BI software plays an important role in SYSCO's service. It helps the company to examine customer's ordering pattern over time, hightlighting instances where a historically loyal customer is reducing its order volumes. The process helps the company to indicate the customers' satisfaction about SYSCO's service so that they know whether they are on the right track of serving their customers then they can adjust in order to provide a good service.

The value of Business Intelligence increases as the delivery of information is embedded in the processes and systems of the enterprise which results from all data being store for end users. The BI software seems to be very efficient in its

Business Intelligence projects start out as a simple report or request for an extract of data. Once the base data is aggregated then the next request usually is about summing data or creating more reports that have different views to the data sets. Before long complex logic comes into play and the metrics coming out of the system are very important to many corporate wide citizens. "Centrally managed business rules enable BI projects to draw from the business know-how of a company and to work with consistent sets of business logic – they are what add the intelligence to business intelligence."(pg14)

The purpose of this literature review is to provide an overall perspective to the workings of business intelligence in a corporate environment. With the onset of massive technological gains in the past decade the implementation of business intelligence has grown accordingly. In the workplace the demand for business process improvement, responsive reporting, cutting edge forecasting, and internal business customer relations has triggered a need for a unit that understands the business needs as well as the impact on company technology.

Business Intelligence (BI) makes use of methods, processes, and technologies that help organizations to collect, store, report, and analyze business data for purposes of facilitating decision making. Institutions of higher learning are going through ab period of transformation as they become digitalized to make them competitive like other organizations. There is need to adopt technologies to improve the quality and efficiency of delivering study processes and enhancing the experience of students. Furthermore, learning institutions need to attract and retain students to sustain higher graduation rates (Deng, & Chi, 2012). Thus, business intelligence can help the management of higher education

The amount of data available to suppliers has increased over the last several years. Business intelligence is a becoming a larger influence on the profitability of organizations and is affecting their supply chain management. Until recently, there has been little clarity into the relationship between business intelligence, analytics and supply chain management, but with the shift in information technology, organizations can now collect and organize information more clearly.

Many massive, successful companies ' sole purpose is to create user-friendly BI tools. For example, SAP, PeopleSoft, and JD Edwards are all powerful intelligence systems. These systems can help users with nearly any aspect of a company.

BI technologies provide past, current and future business conditions. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.

company which was solved with the help of adopting the business intelligence system as and

In the present day business world, an organization needs great analyzing and decision-making capabilities to achieve the challenges. Business Intelligence (BI) offers approaches to improvise business decision making by consuming fact-based support systems (Lim et al., 2012). SAP BI offers BusinessObjects, which provides tools those are helpful in easy discovering and sharing acumens for enriched business decisions (SAP1, 2011). SAP BusinessObjects is an enterprise software company, specializing in BI and produced tools such as BusinessObjects XI, Dashboards, Crystal Reports (Wikipedia1, 2014). SAP also offers BusinessObjects BI suite which primarily consists of three functional use cases: Discovery and Analysis, Reporting, and Dashboards and applications (SAP2, 2014). SAP Analysis tool, edition for OLAP is one of the analysis tools, to run advanced multidimensional analysis of OLAP sources which helps in answering analytical questions straightaway (SAP3, 2012). Crystal Reports is one of the Reporting solutions offered by SAP, which is concerned more about greatly formatted production reporting (SAP2, 2014). SAP offers BI dashboard which is used for data visualization. It can modify a flat excel sheet into interactive and pliable presentations (Obily, 2013).

All great organizations share one thing in common, the use of business intelligence. Business intelligence (BI) provides tools that revolutionize the way organizations manage business and decision-making. It allows them to transform mass amounts of raw data into reliable information necessary to make important business decisions. BI delivers relevant and reliable information to those who seek it with the goal of achieving better decisions faster. An employee is independently able to navigate through a company’s data and find what he or she needs without relying on others. This means an organization no longer needs to dig through compiled webs of linked spreadsheets, analyze the data manually and mash together reports. Instead, employees can use BI systems to request the specific information that is useful for them (Hitachi Solutions Canada, 2014). BI allows managers to reach the most accurate and contemporaneous information an organization’s database cannot retrieve. The software offers applications for both data analysis and presentation of results. Applications such as data mining and decision support systems allow one to contemplate how he or she wants to analyze the data. Data mining refers to the process of searching for valuable business information in a large database, data warehouse, or data mart. Decision support systems combine models and data in an attempt to analyze semi structured and some unstructured problems with

Analysis the Business requirements from Sunshine Escapes business process, design the BI application prototype to answer the business question and design a multi-dimensional schema, Thomsen diagrams, to support prototype design.

We live in a day and age where Business Intelligence (BI) tools are becoming a standard for businesses. In the past, decision makers gathered data from thick paper reports, long presentations, and other inefficient tools. However, with rapid advancements in technology, especially in the field of Information Systems, decision makers need more sophisticated and efficient tools to make sense of their businesses. Analytical tools are very useful because they allow decision makers to make decisions at every level of business. We are getting to the point where these tools are critical for a firm’s advancement and competition.

Every modern company benefit from business intelligence. It has to be realized that almost every tool which is